A Special Session on AI Applications to Environmental Engineering (EE07) will be held during the 3rd Indian International Conference on Artificial Intelligence (IICAI-07). The session focuses on artificial intelligence applications in environmental engineering. The Artificial Neural Network (ANN), Genetic Algorithm (GA), and other AI applications to environmental engineering will be considered.
The topics covered by the session include but are certainly not limited to the following:
Environmental Engineering
- Surface and Groundwater Pollution Modeling and Management
- Solid and Hazardous Waste Management
- Biological Processes and Bio-remediation
- Water and Wastewater Treatment
- Environmental Systems Simulation and Modeling
- Environmental Impact Assessment
- Atmospheric Processes and Air Pollution
Paper Submission:
Authors are encouraged to submit papers for this session. Papers on any of the topics can be submitted as an email attachment to any of the conveners (contact details given below). The papers should be in WORD or PDF format and should be formatted according to the Springer Lecture Notes instructions. The length of a paper should not exceed 20 pages. The first page of the paper should contain the title, name(s) of the authors, affiliations, the postal and email addresses, and at least 3 keywords appropriate to the content of the paper. Further information regarding paper submission can be obtained from the session organizer or session coordinator (addresses given below), or access the conference website.
Paper Publication:
All accepted papers will be published in the conference proceedings of the IICAI-07, under the title of the session. A few selected papers of exceptional quality will be nominated for consideration for possible publication in the Journal of Applied Soft Computing (JASC) . The conference papers would have to be revised and enhanced in quality for consideration for publication in JASC.
Important Dates:
The following deadlines will be adhered to for the organization of the session EE07: